Tag Archives: evidence-based healthcare policy

FAERS Data: Getting Creative with an Adverse Event Surveillance Dashboard

Want to learn more about pharmacy data? You can use adverse event data in a data science portfolio project.

FAERS data are like any post-market surveillance pharmacy data – notoriously messy. But if you apply strong study design skills and a scientific approach, you can use the FAERS online dashboard to obtain a dataset and develop an enlightening portfolio project. I show you how in my blog post!

Online Courses in Data Science and Public Health

Learn about unique data science subjects, like data close-out, data collection approaches, data curation, and more!

Online courses are a good way to get professional training on your own time. Check out our online courses on topics in data science and public health.

Internship Strategy for Data Science: Download our Guide!

In data science, you can learn applied skills by being part of an internship at a noted organization.

Internship strategy for data science is not obvious, and even if you are in a college program, they often expect you to find your own internship. Download our internship strategy guide and get the experience you want!

Wiley’s Predatory Behavior: My Recent Experience and Recommendations

Predatory publishers of scientific journals engage in unethical behavior, so you should steer clear of them. Until now, I had thought Wiley did not behave like them. But a recent incident made me change my mind.

Wiley’s predatory behavior recently with a colleague’s scientific manuscript makes me want to avoid publishing in their journals. Read about our experience.

US Public Health Alphabet Soup Explained: What is the MHS?

The MHS stands for Military Health System, and is the healthcare part of the military.

“What is the MHS?” is a question not always asked by public health data scientists, but it should be. The MHS – or Military Health System – serves the US military through healthcare facilities in locations where civilians do not have access. I provide an explanation on my blog post.

Data Curation Solution to Confusing Options in R Package UpSetR

It is possible to use data curation to solve the problem of a confusion vector containing options.

Data curation solution that I posted recently with my blog post showing how to do upset plots in R using the UpSetR package was itself kind of a masterpiece. Therefore, I thought I’d dedicate this blog post to explaining how and why I did it.

US Public Health Alphabet Soup Explained: What is the HRSA?

Local health departments are funded by HRSA which provides grants to them to help them with community health

“What is the HRSA?” can be answered two ways: with a short answer, and a long answer. The short answer is that it is the agency that funds public health departments in the United States. The long answer, which I unpack in my blog post, is more nuanced, harrowing, and ultimately, depressing.

Researching Data Science Companies: How to Evaluate Your Future Employer

You should research companies offering data science job positions before scheduling an interview, because you do not want to be surprised during the hiring process.

Researching data science companies who might be your future employers, but you don’t know where to start? Read my blog post to learn my simple approach.

Presentation on Data Collection for Healthcare QA/QI in Chronic Disease

Quality improvement and assurance departments in healthcare do many functions all at once, including monitoring and research

Watch a video of my presentation on data collection from chronic disease patients for healthcare quality control and quality improvement – and download the slides!

US Public Health Alphabet Soup Explained: What is the DHHS?

The Department of Health and Human Services in the United States is also called DHHS and HHS, and is the top level department with a mission of ensuring healthcare delivery in the US.

My answer to, “What is the DHHS?” is, “A failed department”, but it is important to examined exactly what they have failed at, and how.

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